Biostatistical Programming Senior Associate (Innovation)
Key Responsibilities:
- Analysis and reporting of clinical trial data using SAS and/or R or Python
- Creation and validation of complex SDTM, ADaM, and other analysis datasets, both safety and efficacy
- Creation and validation of complex tables, listings, and figures, both safety and efficacy
- Prepare statistical programming specifications
- Prepare statistical programming related documents for regulatory submissions
- Maintain tracking and validation documentation
- Collaborate with cross-functional team and create and/or validate complex programs for checking data quality
- Interact and collaborate with study team members from other functions globally
- Assist in some of the tasks of the Study Lead Programmer (SLP) or serve as a backup SLP
- Design, build, and maintain programming solutions and tools that improve efficiency and quality across statistical programming ecosystems.
- Contribute to the full development lifecyclefrom requirements gathering and design through testing, deployment, and maintenance.
- Collaborate with programming teams across center for design and analysis (CfDA) to identify process gaps and prototype scalable solutions using modern programming practices.
- Support federated innovationintegrating ideas and code contributions from other programming teams into unified, CfDA-wide solutions.
- Automate repeatable programming tasks and establish standards for modular, reusable code.
- Leverage AI and machine learning capabilities, including developing and deploying AI agents or copilots, to optimize programming workflows and knowledge sharing.
- Create and maintain clear, version-controlled documentation, training materials, and user guides to enable sustainable adoption of new tools.
- Participate in ongoing evaluation and enhancement of tools, ensuring continued performance, security, and relevance.
- Collaborate with cross-functional partners to align innovations with business needs and technical standards.
This position will be located at Amgen India (Hyderabad).
Win
- Bachelorsor higher degree in biostatistics, statistics, mathematics, AI and data science, computer science, or other related quantitative or scientific subjects, with at least 4 years of statistical programming experience in relevant career statistical programming experience in a clinical development environment.
- Familiarity with drug development life cycle and excellent skills with the manipulation, analysis and reporting of complex clinical trial data
- Ability to effectively perform complex statistical programming and related tasks
- Ability to provide quality output and deliverables in adherence with challenging timelines
- Ability to work effectively on multiple tasks or projects across therapeutic areas
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
- Working knowledge of latest CDISC SDTM standards and familiar with CDISC ADaM and Define standards with strong ability to implement the standards
- Familiar with data quality and compliance check tools
- Excellent oral and written English communication skills
- Masters or higher degree in statistics, biostatistics, mathematics, AI and data science, computer science or related quantitative or scientific subjects
- Familiarity with open-source programming tools (R, Python), automation platforms, and emerging technologies in statistical programming
- Experience developing or maintaining solutions through a structured software development lifecycle (SDLC).
- SAS macro development
- R/Python Package development
- Working knowledge of version control (e.g., Git) and collaborative coding practices.
- Familiarity with AI and machine learning frameworks (e.g., OpenAI API, or custom model training).
- Building or implementing AI-driven programming assistants, copilots, or agents for workflow optimization.
- Working knowledge of Agile project management and collaborative development environments.
- Strong programming (e.g., SAS, R, SQL, Python) and analytic skills
- Innovation and problem solving
- Strong documentation and communication skills
- Collaboration and teamwork across functions
- Organization and follow-through in structured projects
- AI and automation mindset
- Learning agility and curiosity
Thrive
- Vast opportunities to learn and move up and across our global organization
- Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
- Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits